Predict Sending KPI In Date Range v1

POST

https://api.mpc.dev.placewise.com/v1/ml/sending/predict_sending_kpi_in_date_range

API Permit:ML:Sending:KPIInDateRangePrediction

API Context:Loyalty Club

Authorizations:UserToken

Returns predictions for selected kpi for a given sending entity in a date range.

Body Parameters

Parameter	Type	Required?	Description
sending	Hash	yes	A full sending entity. See parameters of Predict Sending KPI
date_start	String	yes	Start date of prediction. Format: YYYY-MM-DD
date_end	String	yes	End date of prediction. Format: YYYY-MM-DD
interval	Integer	yes	Interval of prediction in seconds as an integer (e.g. 86400)

Example

When successful, returns:

{
  "predictions": [
    {
      "prediction": 0.1,
      "timestamp": "2020-01-01 00:00:00"
    },
    {
      "prediction": 0.2,
      "timestamp": "2020-01-01 01:00:00"
    },
    {
      "prediction": 0.3,
      "timestamp": "2020-01-01 02:00:00"
    }
  ]
}

Request

Header Params

Request Code Samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Ruby

curl --location --request POST 'https://api.mpc.dev.placewise.com/v1/ml/sending/predict_sending_kpi_in_date_range' \
--header 'X-User-Agent: ApiDog' \
--header 'X-Product-Name: default' \
--header 'X-Loyalty-Club-Slug: infinity-mall' \
--header 'X-Customer: 447' \
--header 'Authorization: Bearer ' \
--header 'X-Client-Authorization: ' \
--header 'Content-Type: application/json'

Responses

🟢200Success

application/json

Body

Example

{}

Explain Sending KPI Prediction v1

Explain Sending Text KPI Prediction v1

Predict Sending KPI In Date Range v1

Body Parameters#

Example#

Request

Request Code Samples

Responses

Body Parameters

Example